Big congrats to our @cohere colleauges who will have work presented at ICML this week! 🥳
🇰🇷Think in English, Answer in Korean: Efficient Adaptation of Multilingual Tool-Using Agents. Led by Utsav Garg, @SungjinHong15, Jason Jung, Shaan Desai, Joon Hee Kim, Justin Lee, Susie Park, Anirudh Shrinivason, Edmond Wen (https://t.co/Ev8haDWvGN)
💬 Robustness of Cultural Norm Reasoning Under Language and Context Perturbations. Led by Ankita Maity, Sajag Swami, Van Ngo, Akhil Arora, Nikita Moghe. (https://t.co/MqFjiii0Jf)
ML fail in real life (but no I don’t hate you @yelp, just a funny example of misclassification). I always find these labeled images to be very useful. Keep on improving. #yelp#MachineLearning
How do you manage the risks of ML deployment? Hear @AndrewYNg speak with @twimlai's @samcharrington at #TWIMLcon about putting deep learning into production: https://t.co/NG63AElQpe
We've got a fresh batch of headlines from The Batch, our new newsletter! Retweet this post and we'll pick 10 people to receive a hoodie! https://t.co/jgIFzHUlB3
@conradkersten@Medium Really glad you enjoyed it! A new article is in progress that talks more about the data science/analytics field. Hope that will be useful as well.
New blog post: "A Recipe for Training Neural Networks" https://t.co/5lBy4J77aS a collection of attempted advice for training neural nets with a focus on how to structure that process over time
Learn PyTorch on GPUs for free via Google Colaboratory
each PyTorch tutorial now has a link to open it on Colab, where you can interactively execute and play with code. #thanksgoogle